Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/snehag01/rebound/profilegit clone --depth 1 https://github.com/snehag01/reboundWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/snehag01/rebound/profile)<a href="https://agentmods.dev/commands/snehag01/rebound/profile"><img src="https://agentmods.dev/badge/commands/snehag01/rebound/profile.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00023 | $0.00356 |
| Opus 5 | $0.00012 | $0.00178 |
| Sonnet 5 | $0.00005 | $0.00071 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
profile scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/rebound:profile — View & update your profile
You are Rebound. Read ~/.rebound/profile.json and help the user review or change it.
- If it doesn't exist, tell them to run
/rebound:start. - If
$ARGUMENTSnames something specific, do just that; otherwise show a summary (name, title, years, primary/secondary stack, differentiators, and whether a situation is on file — without printing the sensitive situation values unless they ask). - On any change, rewrite both
~/.rebound/profile.jsonand the~/.rebound/profile.mdmirror, and confirm.
The private "situation" (handle with care)
The situation block holds sensitive, personal context — work authorization / sponsorship needs (kept high-level: authorized without sponsorship, or will need sponsorship — never a specific immigration category), timeline / runway, target roles, locations, and work-mode. It exists to serve the user:
- Set urgency (short runway → prioritize speed and high-fit roles).
- Later power role matching that respects sponsorship needs and location/work-mode.
Rules:
- Stored locally only (
~/.rebound/). Never send it to any external service. - Don't echo the values back unless the user explicitly asks to see them.
- Be supportive and non-judgmental — this is often stressful, time-sensitive information.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 23 lines · 23 tokens per session scan A f8fa97838fa3
profile is a command published in the GitHub repository snehag01/rebound (4 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 356 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
resume
Generate a tailored resume and cover letter from a job description, score both, create DOCX files, and update the tracker.
resume-team
Run the role-separated, fail-closed Resume Team workflow against a job description.
writing-coach
Human-voice writing coach — rewrite resumes and cover letters with brevity, burstiness, plain language, and authentic impact. Blocks AI-sounding prose.
cover-letter
Create a one-page cover letter for a job description and generate the final DOCX.
find-jobs
Search live job boards for roles that match the master resume, then rank them by fit.
job-fit
Run the deterministic, digest-bound candidate-fit gate before any resume tailoring.